AI Analysis
The package appears to be legitimate based on its description and the low scores across all risk categories. The incomplete author metadata slightly increases suspicion, but there are no clear indicators of malicious behavior.
- Low network and shell execution risks.
- No clear signs of obfuscation or credential harvesting.
- Incomplete author metadata.
Per-check LLM notes
- Network: No network calls detected, which is unusual but not necessarily indicative of malicious activity; the package may not require external communication.
- Shell: No shell execution patterns detected, reducing the likelihood of this package executing harmful commands.
- Obfuscation: The observed pattern is likely a standard method for extending module search paths and not indicative of malicious obfuscation.
- Credentials: No patterns indicative of credential harvesting were detected.
- Metadata: The author's details are incomplete, suggesting a potentially less reputable source, but there are no clear signs of malicious intent.
Package Quality Overall: Medium (5.4/10)
No test suite detected
No test files or test-runner configuration detected
Some documentation present
Detailed PyPI description (4595 chars)
No contributing guide or governance files found
Development Status classifier >= Beta
Partial type annotation coverage
Type checker (mypy / pyright / pytype) referenced in project35 type-annotated function signatures detected in source
Active multi-contributor project
35 unique contributor(s) across 100 commits in Azure/azure-sdk-for-pythonActive community — 5 or more distinct contributors
Heuristic Checks
No suspicious network call patterns found
Found 2 obfuscation pattern(s)
__path__ = __import__("pkgutil").extend_path(__path__, __name__) # type: ignore __path__ =) # type: ignore __path__ = __import__("pkgutil").extend_path(__path__, __name__) # type: ignore # coding=u
No shell execution patterns detected
No credential harvesting patterns detected
No typosquatting candidates detected
Email domain looks legitimate: microsoft.com> license-expression: mit
All external links appear legitimate
Repository Azure/azure-sdk-for-python appears legitimate
2 maintainer concern(s) found
Author name is missing or very shortAuthor "" appears to have only 1 package on PyPI (new or inactive account)
No known vulnerabilities found in OSV database.
AI App Starter Prompt
Develop a Python-based utility that integrates with Microsoft Azure using the 'azure-mgmt-managementpartner' library to manage partner relationships within the Azure ecosystem. Your application should allow users to perform the following actions: 1. Authenticate and connect to their Azure account. 2. Retrieve information about their current partner agreements and relationships. 3. Create new partner agreements with specified parameters. 4. Update existing partner agreements. 5. Delete partner agreements. 6. List all available services and resources under each agreement. 7. Provide a user-friendly interface for managing these operations via command-line or a simple web interface. The application should utilize the 'azure-mgmt-managementpartner' package to interact with Azure's Management Partner API. Ensure that your application includes error handling, logging, and supports multiple Azure subscriptions if the user has access to more than one. Additionally, document your code thoroughly and include examples on how to use each feature of the application.
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